Track accepted paper

CiteScore:
4.76ℹCiteScore:2017: 4.760CiteScore measures the average citations received per document published in this title. CiteScore values are based on citation counts in a given year (e.g. 2015) to documents published in three previous calendar years (e.g. 2012 – 14), divided by the number of documents in these three previous years (e.g. 2012 – 14).

Impact Factor:
4.639ℹImpact Factor:2017: 4.639The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
2017 Journal Citation Reports (Clarivate Analytics, 2018)

5-Year Impact Factor:
4.968ℹFive-Year Impact Factor:2017: 4.968To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years.
2017 Journal Citation Reports (Clarivate Analytics, 2018)

Source Normalized Impact per Paper (SNIP):
2.472ℹSource Normalized Impact per Paper (SNIP):2017: 2.472SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.

SCImago Journal Rank (SJR):
0.844ℹSCImago Journal Rank (SJR):2017: 0.844SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.

Author StatsℹAuthor Stats:Publishing your article with us has many benefits, such as having access to a personal dashboard: citation and usage data on your publications in one place. This free service is available to anyone who has published and whose publication is in Scopus.

Acoustic Sensor Networks in IoT Applications

Scope and Objective

One of the important sensing means is through sound wave which is widely used in many medical, technological and scientific applications. Acoustic Sensor Networks (ASNs) are especially important for communication in underwater and underground, and in situations where radio frequency signal is not suitable or unusable. Additionally multimodal sensor networks incorporating acoustic sensors can augment the sensing scope and enhance the performance and functionalities of wireless of sensor networks. This is particularly important given the fact that sensor networks will be an integral part of the emerging Internet of Things (IoT) environment.

In recent years there has been growing interest in the design and development of acoustic sensing technology and deployment of acoustic sensor networks for smart environment monitoring, surveillance, off-shore exploration, disaster prevention and recovery, smart cities and buildings, and biosecurity applications. However, the current technology faces a number of challenges that need to be resolved for those applications to be cost effective, efficient and practically deployable in large scale in the IoT. The slow propagation speed, low bandwidth and inherent noise in environment require new or re-design of protocols and algorithms from the application layer to the physical layer. Some of the unsolved issues include high packet error rate, inaccurate channel modelling, inability of protocols to handle node mobility and environmental noise, high communication overhead, low reliability and high latency in data delivery, lack of efficient congestion control mechanism, poor localization in underwater/underground, and high energy consumption at low frequencies. The objective of this special issue is to communicate and disseminate recent research and success stories that demonstrate the potentials and challenges of acoustic sensor networks to monitor vast ocean, underwater and underground, and thereby to extend the scope of the IoT beyond the earth surface.

Topics of Interest

This special issue calls for original and high-quality contributions focusing on research that addresses the above issues as well as innovative applications and services based on acoustic sensor networks leading to multimodal networks in the emerging IoT. We are seeking original and unpublished papers. Specific topics include, but are not limited to:

All submitted papers must be clearly written in excellent English and contain only original work, which has not been published by or is currently under review for any other journal or conference. Authors should prepare their manuscript according to the Guide for Authors available from the online submission page of the Future Generation Computer Systems at http://ees.elsevier.com/fgcs/. Authors should select “SI: ANS-IoT” when they reach the “Article Type” step in the submission process. The final decisions on the acceptance of the submissions will be based on their quality, relevance to the special issue and originality of research.